Functional Near-Infrared Spectroscopy for the Classification of Motor-Related Brain Activity on the Sensor-Level.
Alexander E. HramovVadim V. GrubovArtem BadarinVladimir A. MaksimenkoAlexander N. PisarchikPublished in: Sensors (2020)
Keyphrases
- brain activity
- resting state
- functional mri
- classification accuracy
- brain activation
- eeg signals
- machine learning
- feature space
- image classification
- functional magnetic resonance imaging
- feature selection
- sensor networks
- pattern recognition
- pattern classification
- higher level
- eeg data
- motor control
- human subjects
- event related
- high dimensional
- feature extraction